ABSTRACT We investigate a potential selection benefit of stock-based compensation for rank-and-file employees, whose pay under this compensation form is insensitive to their individual efforts. We use a laboratory experiment to demonstrate that individuals with higher levels of dispositional optimism are more likely to choose compensation that is contingent on a company's future stock price than to choose fixed pay, even after controlling for the individual's risk preferences. Furthermore, compared to participants selecting fixed pay, those selecting stock-based compensation also perform better on a challenging problem-solving task, a result that we show is due to their higher levels of dispositional optimism. Collectively, we demonstrate that stock-based compensation can have productivity-enhancing effects, even if stock prices are completely insensitive to individual efforts. In doing so, we provide a partial explanation for the puzzling prevalence of stock-based compensation plans at the rank-and-file level and contribute to the broader contract-selection literature.

ABSTRACT Risk-based auditing implies that auditors invest more (fewer) resources as reporting risks increase (decrease). We find from an interactive experiment that participants in an audit-like role reflect this reasoning to a lesser extent when risks arise from intentional actions of human reporters than when the same risks arise from an unintentional source. We interpret this pattern as reflecting an emotive “valuation by feeling” when risks arise from human intent, meaning that the presence of risk is more influential than the magnitude of risk, whereas unintentional risks reflect a “valuation by calculation” that conditions audit resources on risk magnitudes. Because our experiment constrains intentional and unintentional risks to have equivalent magnitudes, probabilities, and consequences, these results could seem irrational in a strict economic sense. Outside the laboratory, however, reporters can strategically increase the level of intent-based risk in response to the auditor's low-risk strategy, such that an audit strategy that is relatively insensitive to the level of intent-based risk would be less vulnerable to strategic exploitation.

ABSTRACT Agency theories predict that the value of corporate cash holdings is less in countries with poor investor protection because of the greater ability of controlling shareholders to extract private benefits from cash holdings in such countries. Using various specifications of the valuation regressions of Fama and French (1998) , we find that the relation between cash holdings and firm value is much weaker in countries with poor investor protection than in other countries. In further support of the importance of agency theories, the relation between dividends and firm value is weaker in countries with stronger investor protection.

In most countries, many of the largest corporations are controlled by large shareholders.We show that, under reasonable assumptions, this stylized fact implies that portfolio holdings of U.S. investors should exhibit a home bias in equilibrium.We construct an estimate of the world portfolio of shares available to investors who are not controlling shareholders.This available world portfolio differs sharply from the world market portfolio.In regressions explaining the portfolio weights of U.S. investors, the world portfolio of available shares has a positive significant coefficient but the world market portfolio has no additional explanatory power.This result holds when we control for country characteristics.

ABSTRACT Results from multiple experiments demonstrate that evaluators more favorably evaluate creative output produced by designers with higher expertise, even when the underlying creativity of the output is held constant (hereafter, expertise bias). We find, however, that this bias is mitigated when evaluators know that Artificial Intelligence (AI) can augment creative design processes, because AI’s capabilities reduce the perceived exclusivity of designers’ domain expertise. We also show that designers can restore the perceived exclusivity of their expertise, reestablishing the expertise bias, by choosing not to use available AI tools. Although prior research focuses on AI’s ability to enhance or inhibit the creativity of output, we highlight that it can enhance the creative process by mitigating a prevalent human bias in the subjective evaluation of this output. We also contribute to a better understanding of why some experienced designers refuse to utilize AI. Data Availability: Data are available upon request. JEL Classifications: L29; M41; M55.

ABSTRACT Toward the goal of reconciling conflicting arguments on whether performance-based incentives facilitate or impede divergent thinking, we identify a feature common to prior demonstrations of negative incentive effects: they generally involve tasks with only one correct solution. Our first experiment replicates a negative incentive effect when insight problems require “bottom-up” divergent thinking from an unexpected resource to the problem it is uniquely equipped to solve, whereas our second experiment finds a positive incentive effect in the more general case of problems that enable “top-down” divergent thinking from a problem to multiple potential solutions. We also observe a positive incentive effect in a third experiment that measures the time needed to generate a solution to problems that have multiple potential solutions and in a fourth experiment in which participants design insight problems. Overall, our findings suggest that any harmful effects of performance-based incentives are likely restricted to highly constrained settings. Data Availability: Data are available from the authors upon request. JEL Classifications: J33; M14; M41; M52.

ABSTRACT In two experiments, we examine whether performance-contingent incentives facilitate the creative process by enhancing the initial preparation that precedes creative incubation. The defining characteristic of both experiments is a second-stage task that is separated in time from the first-stage implementation of different incentive schemes. In Experiment 1, the second stage takes place ten days after we implement conditions with quantity incentives, high-creativity incentives, incentives with a minimum-creativity threshold, and a fixed-pay control condition. In Experiment 2, we test the effects of incentives with an incubation period of 20 minutes, during which an experimenter escorts participants on a walk between compensated work periods. In both experiments, we find that participants with quantity incentives outperform the high-creativity production of their fixed-pay counterparts only in the second-stage task. Mediation analyses suggest that quantity-incentivized participants' propensity to try more divergent ideas in the first stage sparks their creativity advantage in the second stage. JEL Classifications: D24; D91; M11; M41.

We build a publicly available database that tracks economic activity in the United States at a granular level in real time using anonymized data from private companies. We report weekly statistics on consumer spending, business revenues, job postings, and employment rates disaggregated by county, sector, and income group. Using the publicly available data, we show how the COVID-19 pandemic affected the economy by analyzing heterogeneity in its effects across subgroups. High-income individuals reduced spending sharply in March 2020, particularly in sectors that require in-person interaction. This reduction in spending greatly reduced the revenues of small businesses in affluent, dense areas. Those businesses laid off many of their employees, leading to widespread job losses, especially among low-wage workers in such areas. High-wage workers experienced a V-shaped recession that lasted a few weeks, whereas low-wage workers experienced much larger, more persistent job losses. Even though consumer spending and job postings had recovered fully by December 2021, employment rates in low-wage jobs remained depressed in areas that were initially hard hit, indicating that the temporary fall in labor demand led to a persistent reduction in labor supply. Building on this diagnostic analysis, we evaluate the effects of fiscal stimulus policies designed to stem the downward spiral in economic activity. Cash stimulus payments led to sharp increases in spending early in the pandemic, but much smaller responses later in the pandemic, especially for high-income households. Real-time estimates of marginal propensities to consume provided better forecasts of the impacts of subsequent rounds of stimulus payments than historical estimates. Overall, our findings suggest that fiscal policies can stem secondary declines in consumer spending and job losses, but cannot restore full employment when the initial shock to consumer spending arises from health concerns. More broadly, our analysis demonstrates how public statistics constructed from private sector data can support many research and real-time policy analyses, providing a new tool for empirical macroeconomics.